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Maria Grith

Personal Details

First Name:Maria
Middle Name:
Last Name:Grith
Suffix:
RePEc Short-ID:pgr437
[This author has chosen not to make the email address public]
http://www.mariagrith.com/

Affiliation

Econometrisch Instituut
Faculteit der Economische Wetenschappen
Erasmus Universiteit Rotterdam

Rotterdam, Netherlands
http://www.econometric-institute.org/
RePEc:edi:eieurnl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  2. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  3. Grith, Maria & Karl Härdle, Wolfgang & Krätschmer, Volker, 2013. "Reference dependent preferences and the EPK puzzle," SFB 649 Discussion Papers 2013-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  4. Grith, Maria & Karl Härdle, Wolfgang & Krätschmer, Volker, 2013. "Reference dependent preferences and the EPK puzzle," SFB 649 Discussion Papers 2013-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  5. Grith, Maria & Härdle, Wolfgang Karl & Schienle, Melanie, 2010. "Nonparametric estimation of risk-neutral densities," SFB 649 Discussion Papers 2010-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  6. Grith, Maria & Krätschmer, Volker, 2010. "Parametric estimation of risk neutral density functions," SFB 649 Discussion Papers 2010-045, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  7. Grith, Maria & Härdle, Wolfgang Karl & Schienle, Melanie, 2010. "Nonparametric estimation of risk-neutral densities," SFB 649 Discussion Papers 2010-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  8. Grith, Maria & Härdle, Wolfgang Karl & Park, Juhyun, 2009. "Shape invariant modelling pricing kernels and risk aversion," SFB 649 Discussion Papers 2009-041, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

Articles

  1. Maria Grith & Wolfgang Härdle & Juhyun Park, 2013. "Shape Invariant Modeling of Pricing Kernels and Risk Aversion," Journal of Financial Econometrics, Oxford University Press, vol. 11(2), pages 370-399, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Horváth, Lajos & Liu, Zhenya & Rice, Gregory & Wang, Shixuan, 2020. "A functional time series analysis of forward curves derived from commodity futures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 646-665.

  2. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Horváth, Lajos & Liu, Zhenya & Rice, Gregory & Wang, Shixuan, 2020. "A functional time series analysis of forward curves derived from commodity futures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 646-665.

  3. Grith, Maria & Karl Härdle, Wolfgang & Krätschmer, Volker, 2013. "Reference dependent preferences and the EPK puzzle," SFB 649 Discussion Papers 2013-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Belomestny, Denis & Ma, Shujie & Härdle, Wolfgang Karl, 2014. "Pricing kernel modeling," SFB 649 Discussion Papers 2015-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Ricardo Crisóstomo, 2021. "Estimating real word probabilities: a forward-looking behavioral framework," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    3. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    4. Chen Tong & Peter Reinhard Hansen & Zhuo Huang, 2021. "Option Pricing with State-dependent Pricing Kernel," Papers 2112.05308, arXiv.org, revised Apr 2022.
    5. Poeschel, Friedrich, 2012. "Assortative matching through signals," IAB-Discussion Paper 201215, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

  4. Grith, Maria & Karl Härdle, Wolfgang & Krätschmer, Volker, 2013. "Reference dependent preferences and the EPK puzzle," SFB 649 Discussion Papers 2013-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Belomestny, Denis & Ma, Shujie & Härdle, Wolfgang Karl, 2014. "Pricing kernel modeling," SFB 649 Discussion Papers 2015-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Ricardo Crisóstomo, 2021. "Estimating real word probabilities: a forward-looking behavioral framework," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    3. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    4. Chen Tong & Peter Reinhard Hansen & Zhuo Huang, 2021. "Option Pricing with State-dependent Pricing Kernel," Papers 2112.05308, arXiv.org, revised Apr 2022.
    5. Poeschel, Friedrich, 2012. "Assortative matching through signals," IAB-Discussion Paper 201215, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

  5. Grith, Maria & Härdle, Wolfgang Karl & Schienle, Melanie, 2010. "Nonparametric estimation of risk-neutral densities," SFB 649 Discussion Papers 2010-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Hecht, Carolin & Hanewald, Katja, 2010. "Sociodemographic, economic, and psychological drivers of the demand for life insurance: Evidence from the German Retirement Income Act," SFB 649 Discussion Papers 2010-034, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Carlo Marinelli & Stefano d'Addona, 2015. "Nonparametric estimates of pricing functionals," Papers 1506.06568, arXiv.org, revised Sep 2017.
    4. Arnerić Josip, 2020. "Realized density estimation using intraday prices," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 1-9, May.
    5. Baranovski, Alexander L., 2010. "Dynamical systems forced by shot noise as a new paradigm in the interest rate modeling," SFB 649 Discussion Papers 2010-037, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    6. Ulrich Horst & Santiago Moreno-Bromberg, 2011. "Efficiency and Equilibria in Games of Optimal Derivative Design," Papers 1107.0839, arXiv.org.
    7. Ben Boukai, 2021. "The Generalized Gamma distribution as a useful RND under Heston's stochastic volatility model," Papers 2108.07937, arXiv.org, revised Aug 2021.
    8. Härdle, Wolfgang Karl & Moro, Rouslan A. & Hoffmann, Linda, 2010. "Learning machines supporting bankruptcy prediction," SFB 649 Discussion Papers 2010-032, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    9. Duca, Ioana Andreea & Ruxanda, Gheorghe, 2013. "A View on the Risk-Neutral Density Forecasting of the Dax30 Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 101-114, June.
    10. Ana M. Monteiro & Antonio A. F. Santos, 2020. "Conditional risk-neutral density from option prices by local polynomial kernel smoothing with no-arbitrage constraints," Review of Derivatives Research, Springer, vol. 23(1), pages 41-61, April.
    11. Ben Boukai, 2021. "On the RND under Heston's stochastic volatility model," Papers 2101.03626, arXiv.org.
    12. Audrino, Francesco & Meier, Pirmin, 2012. "Empirical pricing kernel estimation using a functional gradient descent algorithm based on splines," Economics Working Paper Series 1210, University of St. Gallen, School of Economics and Political Science.
    13. Ana M. Monteiro & António A. F. Santos, 2022. "Option prices for risk‐neutral density estimation using nonparametric methods through big data and large‐scale problems," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 152-171, January.

  6. Grith, Maria & Härdle, Wolfgang Karl & Schienle, Melanie, 2010. "Nonparametric estimation of risk-neutral densities," SFB 649 Discussion Papers 2010-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Hecht, Carolin & Hanewald, Katja, 2010. "Sociodemographic, economic, and psychological drivers of the demand for life insurance: Evidence from the German Retirement Income Act," SFB 649 Discussion Papers 2010-034, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Carlo Marinelli & Stefano d'Addona, 2015. "Nonparametric estimates of pricing functionals," Papers 1506.06568, arXiv.org, revised Sep 2017.
    4. Arnerić Josip, 2020. "Realized density estimation using intraday prices," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 1-9, May.
    5. Baranovski, Alexander L., 2010. "Dynamical systems forced by shot noise as a new paradigm in the interest rate modeling," SFB 649 Discussion Papers 2010-037, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    6. Ulrich Horst & Santiago Moreno-Bromberg, 2011. "Efficiency and Equilibria in Games of Optimal Derivative Design," Papers 1107.0839, arXiv.org.
    7. Ben Boukai, 2021. "The Generalized Gamma distribution as a useful RND under Heston's stochastic volatility model," Papers 2108.07937, arXiv.org, revised Aug 2021.
    8. Härdle, Wolfgang Karl & Moro, Rouslan A. & Hoffmann, Linda, 2010. "Learning machines supporting bankruptcy prediction," SFB 649 Discussion Papers 2010-032, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    9. Duca, Ioana Andreea & Ruxanda, Gheorghe, 2013. "A View on the Risk-Neutral Density Forecasting of the Dax30 Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 101-114, June.
    10. Ana M. Monteiro & Antonio A. F. Santos, 2020. "Conditional risk-neutral density from option prices by local polynomial kernel smoothing with no-arbitrage constraints," Review of Derivatives Research, Springer, vol. 23(1), pages 41-61, April.
    11. Ben Boukai, 2021. "On the RND under Heston's stochastic volatility model," Papers 2101.03626, arXiv.org.
    12. Audrino, Francesco & Meier, Pirmin, 2012. "Empirical pricing kernel estimation using a functional gradient descent algorithm based on splines," Economics Working Paper Series 1210, University of St. Gallen, School of Economics and Political Science.
    13. Ana M. Monteiro & António A. F. Santos, 2022. "Option prices for risk‐neutral density estimation using nonparametric methods through big data and large‐scale problems," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 152-171, January.

  7. Grith, Maria & Härdle, Wolfgang Karl & Park, Juhyun, 2009. "Shape invariant modelling pricing kernels and risk aversion," SFB 649 Discussion Papers 2009-041, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Belomestny, Denis & Ma, Shujie & Härdle, Wolfgang Karl, 2014. "Pricing kernel modeling," SFB 649 Discussion Papers 2015-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Grith, Maria & Karl Härdle, Wolfgang & Krätschmer, Volker, 2013. "Reference dependent preferences and the EPK puzzle," SFB 649 Discussion Papers 2013-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Härdle, Wolfgang Karl & Okhrin, Yarema & Wang, Weining, 2010. "Uniform confidence bands for pricing kernels," SFB 649 Discussion Papers 2010-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    5. Fengler, Matthias & Hin, Lin-Yee, 2011. "Semi-nonparametric estimation of the call price surface under strike and time-to-expiry no-arbitrage constraints," Economics Working Paper Series 1136, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    6. Grith, Maria & Härdle, Wolfgang Karl & Schienle, Melanie, 2010. "Nonparametric estimation of risk-neutral densities," SFB 649 Discussion Papers 2010-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    7. Audrino, Francesco & Meier, Pirmin, 2012. "Empirical pricing kernel estimation using a functional gradient descent algorithm based on splines," Economics Working Paper Series 1210, University of St. Gallen, School of Economics and Political Science.

Articles

  1. Maria Grith & Wolfgang Härdle & Juhyun Park, 2013. "Shape Invariant Modeling of Pricing Kernels and Risk Aversion," Journal of Financial Econometrics, Oxford University Press, vol. 11(2), pages 370-399, March.

    Cited by:

    1. Belomestny, Denis & Ma, Shujie & Härdle, Wolfgang Karl, 2014. "Pricing kernel modeling," SFB 649 Discussion Papers 2015-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Grith, Maria & Karl Härdle, Wolfgang & Krätschmer, Volker, 2013. "Reference dependent preferences and the EPK puzzle," SFB 649 Discussion Papers 2013-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    4. Salim Morched & Ben Mohamed Ezzeddine & Anis Jarboui, 2023. "The impact of innovation type on the performance and social responsibility of French manufacturing companies," Environment Systems and Decisions, Springer, vol. 43(3), pages 433-452, September.
    5. Antonio Díaz & Carlos Esparcia, 2021. "Dynamic optimal portfolio choice under time-varying risk aversion," International Economics, CEPII research center, issue 166, pages 1-22.
    6. Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    7. Fengler, Matthias & Hin, Lin-Yee, 2011. "Semi-nonparametric estimation of the call price surface under strike and time-to-expiry no-arbitrage constraints," Economics Working Paper Series 1136, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    8. Gatfaoui, Hayette, 2015. "Pricing the (European) option to switch between two energy sources: An application to crude oil and natural gas," Energy Policy, Elsevier, vol. 87(C), pages 270-283.
    9. Jonathan Dark, 2021. "The lead of oil price rises on US equity market beliefs and preferences," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1861-1887, November.
    10. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    11. Dietmar P. J. Leisen, 2017. "The shape of small sample biases in pricing kernel estimations," Quantitative Finance, Taylor & Francis Journals, vol. 17(6), pages 943-958, June.
    12. Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021. "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, vol. 100(C).
    13. Kiesel, Rüdiger & Rahe, Florentin, 2017. "Option pricing under time-varying risk-aversion with applications to risk forecasting," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 120-138.
    14. Liao, Wen Ju & Sung, Hao-Chang, 2020. "Implied risk aversion and pricing kernel in the FTSE 100 index," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    15. Audrino, Francesco & Meier, Pirmin, 2012. "Empirical pricing kernel estimation using a functional gradient descent algorithm based on splines," Economics Working Paper Series 1210, University of St. Gallen, School of Economics and Political Science.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-UPT: Utility Models and Prospect Theory (3) 2009-08-30 2010-09-18 2013-05-19
  2. NEP-ECM: Econometrics (2) 2010-09-18 2016-09-11
  3. NEP-ORE: Operations Research (1) 2016-09-11

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